Dataset statistics
| Number of variables | 16 |
|---|---|
| Number of observations | 426 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 166.3 KiB |
| Average record size in memory | 399.7 B |
Variable types
| Numeric | 11 |
|---|---|
| Categorical | 5 |
Model has a high cardinality: 423 distinct values | High cardinality |
MSRP is highly correlated with Invoice and 6 other fields | High correlation |
Invoice is highly correlated with MSRP and 6 other fields | High correlation |
EngineSize is highly correlated with MSRP and 8 other fields | High correlation |
Cylinders is highly correlated with MSRP and 8 other fields | High correlation |
Horsepower is highly correlated with MSRP and 7 other fields | High correlation |
MPG_City is highly correlated with MSRP and 8 other fields | High correlation |
MPG_Highway is highly correlated with MSRP and 7 other fields | High correlation |
Weight is highly correlated with MSRP and 8 other fields | High correlation |
Wheelbase is highly correlated with EngineSize and 6 other fields | High correlation |
Length is highly correlated with EngineSize and 4 other fields | High correlation |
MSRP is highly correlated with Invoice and 3 other fields | High correlation |
Invoice is highly correlated with MSRP and 3 other fields | High correlation |
EngineSize is highly correlated with MSRP and 8 other fields | High correlation |
Cylinders is highly correlated with MSRP and 8 other fields | High correlation |
Horsepower is highly correlated with MSRP and 6 other fields | High correlation |
MPG_City is highly correlated with EngineSize and 6 other fields | High correlation |
MPG_Highway is highly correlated with EngineSize and 5 other fields | High correlation |
Weight is highly correlated with EngineSize and 6 other fields | High correlation |
Wheelbase is highly correlated with EngineSize and 5 other fields | High correlation |
Length is highly correlated with EngineSize and 4 other fields | High correlation |
MSRP is highly correlated with Invoice and 4 other fields | High correlation |
Invoice is highly correlated with MSRP and 3 other fields | High correlation |
EngineSize is highly correlated with Cylinders and 5 other fields | High correlation |
Cylinders is highly correlated with MSRP and 7 other fields | High correlation |
Horsepower is highly correlated with MSRP and 6 other fields | High correlation |
MPG_City is highly correlated with MSRP and 6 other fields | High correlation |
MPG_Highway is highly correlated with EngineSize and 4 other fields | High correlation |
Weight is highly correlated with MSRP and 7 other fields | High correlation |
Wheelbase is highly correlated with EngineSize and 3 other fields | High correlation |
Length is highly correlated with Weight and 1 other fields | High correlation |
Origin is highly correlated with Make | High correlation |
Make is highly correlated with Origin and 1 other fields | High correlation |
DriveTrain is highly correlated with Make | High correlation |
df_index is highly correlated with Make and 1 other fields | High correlation |
Make is highly correlated with df_index and 12 other fields | High correlation |
Type is highly correlated with DriveTrain and 3 other fields | High correlation |
Origin is highly correlated with df_index and 3 other fields | High correlation |
DriveTrain is highly correlated with Make and 6 other fields | High correlation |
MSRP is highly correlated with Make and 4 other fields | High correlation |
Invoice is highly correlated with Make and 4 other fields | High correlation |
EngineSize is highly correlated with Make and 11 other fields | High correlation |
Cylinders is highly correlated with Make and 8 other fields | High correlation |
Horsepower is highly correlated with Make and 10 other fields | High correlation |
MPG_City is highly correlated with Make and 8 other fields | High correlation |
MPG_Highway is highly correlated with Make and 7 other fields | High correlation |
Weight is highly correlated with Make and 7 other fields | High correlation |
Wheelbase is highly correlated with Make and 7 other fields | High correlation |
Length is highly correlated with Make and 4 other fields | High correlation |
df_index is uniformly distributed | Uniform |
Model is uniformly distributed | Uniform |
df_index has unique values | Unique |
Reproduction
| Analysis started | 2021-12-02 16:40:05.456062 |
|---|---|
| Analysis finished | 2021-12-02 16:40:24.097140 |
| Duration | 18.64 seconds |
| Software version | pandas-profiling v3.1.1 |
| Download configuration | config.json |
| Distinct | 426 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 213.3403756 |
| Minimum | 0 |
|---|---|
| Maximum | 427 |
| Zeros | 1 |
| Zeros (%) | 0.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 21.25 |
| Q1 | 106.25 |
| median | 212.5 |
| Q3 | 320.75 |
| 95-th percentile | 405.75 |
| Maximum | 427 |
| Range | 427 |
| Interquartile range (IQR) | 214.5 |
Descriptive statistics
| Standard deviation | 123.9658743 |
|---|---|
| Coefficient of variation (CV) | 0.5810708543 |
| Kurtosis | -1.207238095 |
| Mean | 213.3403756 |
| Median Absolute Deviation (MAD) | 107.5 |
| Skewness | 0.003783557101 |
| Sum | 90883 |
| Variance | 15367.53799 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 427 | 1 | 0.2% |
| 133 | 1 | 0.2% |
| 135 | 1 | 0.2% |
| 136 | 1 | 0.2% |
| 137 | 1 | 0.2% |
| 138 | 1 | 0.2% |
| 139 | 1 | 0.2% |
| 140 | 1 | 0.2% |
| 141 | 1 | 0.2% |
| 142 | 1 | 0.2% |
| Other values (416) | 416 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 |
| Value | Count | Frequency (%) |
| 427 | 1 | |
| 426 | 1 | |
| 425 | 1 | |
| 424 | 1 | |
| 423 | 1 | |
| 422 | 1 | |
| 421 | 1 | |
| 420 | 1 | |
| 419 | 1 | |
| 418 | 1 |
| Distinct | 38 |
|---|---|
| Distinct (%) | 8.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 26.5 KiB |
| Toyota | 28 |
|---|---|
| Chevrolet | 27 |
| Mercedes-Benz | 26 |
| Ford | 23 |
| BMW | 20 |
| Other values (33) |
Length
| Max length | 13 |
|---|---|
| Median length | 6 |
| Mean length | 6.474178404 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2758 |
|---|---|
| Distinct characters | 46 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.2% |
Sample
| 1st row | Acura |
|---|---|
| 2nd row | Acura |
| 3rd row | Acura |
| 4th row | Acura |
| 5th row | Acura |
Common Values
| Value | Count | Frequency (%) |
| Toyota | 28 | 6.6% |
| Chevrolet | 27 | 6.3% |
| Mercedes-Benz | 26 | 6.1% |
| Ford | 23 | 5.4% |
| BMW | 20 | 4.7% |
| Audi | 19 | 4.5% |
| Honda | 17 | 4.0% |
| Nissan | 17 | 4.0% |
| Volkswagen | 15 | 3.5% |
| Chrysler | 15 | 3.5% |
| Other values (28) | 219 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| toyota | 28 | 6.5% |
| chevrolet | 27 | 6.3% |
| mercedes-benz | 26 | 6.1% |
| ford | 23 | 5.4% |
| bmw | 20 | 4.7% |
| audi | 19 | 4.4% |
| honda | 17 | 4.0% |
| nissan | 17 | 4.0% |
| chrysler | 15 | 3.5% |
| volkswagen | 15 | 3.5% |
| Other values (29) | 222 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 241 | 8.7% |
| a | 212 | 7.7% |
| o | 210 | 7.6% |
| r | 173 | 6.3% |
| i | 172 | 6.2% |
| n | 145 | 5.3% |
| u | 143 | 5.2% |
| s | 139 | 5.0% |
| d | 133 | 4.8% |
| l | 100 | 3.6% |
| Other values (36) | 1090 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 2212 | |
| Uppercase Letter | 517 | 18.7% |
| Dash Punctuation | 26 | 0.9% |
| Space Separator | 3 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 241 | |
| a | 212 | 9.6% |
| o | 210 | 9.5% |
| r | 173 | 7.8% |
| i | 172 | 7.8% |
| n | 145 | 6.6% |
| u | 143 | 6.5% |
| s | 139 | 6.3% |
| d | 133 | 6.0% |
| l | 100 | 4.5% |
| Other values (14) | 544 |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 87 | |
| C | 58 | |
| B | 55 | |
| S | 36 | 7.0% |
| H | 30 | 5.8% |
| T | 28 | 5.4% |
| V | 27 | 5.2% |
| A | 26 | 5.0% |
| F | 23 | 4.4% |
| L | 23 | 4.4% |
| Other values (10) | 124 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 26 |
Space Separator
| Value | Count | Frequency (%) |
| 3 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2729 | |
| Common | 29 | 1.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 241 | 8.8% |
| a | 212 | 7.8% |
| o | 210 | 7.7% |
| r | 173 | 6.3% |
| i | 172 | 6.3% |
| n | 145 | 5.3% |
| u | 143 | 5.2% |
| s | 139 | 5.1% |
| d | 133 | 4.9% |
| l | 100 | 3.7% |
| Other values (34) | 1061 |
Common
| Value | Count | Frequency (%) |
| - | 26 | |
| 3 | 10.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2758 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 241 | 8.7% |
| a | 212 | 7.7% |
| o | 210 | 7.6% |
| r | 173 | 6.3% |
| i | 172 | 6.2% |
| n | 145 | 5.3% |
| u | 143 | 5.2% |
| s | 139 | 5.0% |
| d | 133 | 4.8% |
| l | 100 | 3.6% |
| Other values (36) | 1090 |
| Distinct | 423 |
|---|---|
| Distinct (%) | 99.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 29.9 KiB |
| C240 4dr | 2 |
|---|---|
| G35 4dr | 2 |
| C320 4dr | 2 |
| Maxima SE 4dr | 1 |
| Silverado 1500 Regular Cab | 1 |
| Other values (418) |
Length
| Max length | 39 |
|---|---|
| Median length | 13 |
| Mean length | 14.50469484 |
| Min length | 2 |
Characters and Unicode
| Total characters | 6179 |
|---|---|
| Distinct characters | 68 |
| Distinct categories | 8 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 420 ? |
|---|---|
| Unique (%) | 98.6% |
Sample
| 1st row | MDX |
|---|---|
| 2nd row | RSX Type S 2dr |
| 3rd row | TSX 4dr |
| 4th row | TL 4dr |
| 5th row | 3.5 RL 4dr |
Common Values
| Value | Count | Frequency (%) |
| C240 4dr | 2 | 0.5% |
| G35 4dr | 2 | 0.5% |
| C320 4dr | 2 | 0.5% |
| Maxima SE 4dr | 1 | 0.2% |
| Silverado 1500 Regular Cab | 1 | 0.2% |
| Echo 4dr | 1 | 0.2% |
| 330i 4dr | 1 | 0.2% |
| 9-3 Aero 4dr | 1 | 0.2% |
| Endeavor XLS | 1 | 0.2% |
| Civic Si 2dr hatch | 1 | 0.2% |
| Other values (413) | 413 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 4dr | 195 | 15.6% |
| 2dr | 94 | 7.5% |
| convertible | 41 | 3.3% |
| lx | 22 | 1.8% |
| ls | 21 | 1.7% |
| v6 | 19 | 1.5% |
| se | 17 | 1.4% |
| cab | 15 | 1.2% |
| coupe | 15 | 1.2% |
| s | 14 | 1.1% |
| Other values (419) | 796 |
Most occurring characters
| Value | Count | Frequency (%) |
| 823 | 13.3% | |
| r | 575 | 9.3% |
| d | 355 | 5.7% |
| e | 326 | 5.3% |
| a | 323 | 5.2% |
| 4 | 235 | 3.8% |
| o | 227 | 3.7% |
| t | 225 | 3.6% |
| S | 209 | 3.4% |
| i | 204 | 3.3% |
| Other values (58) | 2677 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 3376 | |
| Uppercase Letter | 1139 | 18.4% |
| Space Separator | 823 | 13.3% |
| Decimal Number | 752 | 12.2% |
| Other Punctuation | 44 | 0.7% |
| Dash Punctuation | 23 | 0.4% |
| Open Punctuation | 11 | 0.2% |
| Close Punctuation | 11 | 0.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 575 | |
| d | 355 | |
| e | 326 | |
| a | 323 | |
| o | 227 | 6.7% |
| t | 225 | 6.7% |
| i | 204 | 6.0% |
| n | 193 | 5.7% |
| c | 145 | 4.3% |
| l | 143 | 4.2% |
| Other values (16) | 660 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 209 | |
| L | 136 | |
| C | 100 | |
| X | 94 | |
| T | 91 | |
| E | 73 | 6.4% |
| G | 63 | 5.5% |
| A | 58 | 5.1% |
| R | 48 | 4.2% |
| M | 43 | 3.8% |
| Other values (16) | 224 |
Decimal Number
| Value | Count | Frequency (%) |
| 4 | 235 | |
| 2 | 141 | |
| 0 | 117 | |
| 3 | 79 | 10.5% |
| 5 | 65 | 8.6% |
| 6 | 38 | 5.1% |
| 1 | 31 | 4.1% |
| 8 | 24 | 3.2% |
| 9 | 13 | 1.7% |
| 7 | 9 | 1.2% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 39 | |
| / | 5 | 11.4% |
Space Separator
| Value | Count | Frequency (%) |
| 823 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 23 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 11 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 11 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 4515 | |
| Common | 1664 | 26.9% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 575 | 12.7% |
| d | 355 | 7.9% |
| e | 326 | 7.2% |
| a | 323 | 7.2% |
| o | 227 | 5.0% |
| t | 225 | 5.0% |
| S | 209 | 4.6% |
| i | 204 | 4.5% |
| n | 193 | 4.3% |
| c | 145 | 3.2% |
| Other values (42) | 1733 |
Common
| Value | Count | Frequency (%) |
| 823 | ||
| 4 | 235 | 14.1% |
| 2 | 141 | 8.5% |
| 0 | 117 | 7.0% |
| 3 | 79 | 4.7% |
| 5 | 65 | 3.9% |
| . | 39 | 2.3% |
| 6 | 38 | 2.3% |
| 1 | 31 | 1.9% |
| 8 | 24 | 1.4% |
| Other values (6) | 72 | 4.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6179 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 823 | 13.3% | |
| r | 575 | 9.3% |
| d | 355 | 5.7% |
| e | 326 | 5.3% |
| a | 323 | 5.2% |
| 4 | 235 | 3.8% |
| o | 227 | 3.7% |
| t | 225 | 3.6% |
| S | 209 | 3.4% |
| i | 204 | 3.3% |
| Other values (58) | 2677 |
| Distinct | 6 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 25.8 KiB |
| Sedan | |
|---|---|
| SUV | |
| Sports | |
| Wagon | |
| Truck | 24 |
Length
| Max length | 6 |
|---|---|
| Median length | 5 |
| Mean length | 4.835680751 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2060 |
|---|---|
| Distinct characters | 22 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | SUV |
|---|---|
| 2nd row | Sedan |
| 3rd row | Sedan |
| 4th row | Sedan |
| 5th row | Sedan |
Common Values
| Value | Count | Frequency (%) |
| Sedan | 262 | |
| SUV | 60 | 14.1% |
| Sports | 47 | 11.0% |
| Wagon | 30 | 7.0% |
| Truck | 24 | 5.6% |
| Hybrid | 3 | 0.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| sedan | 262 | |
| suv | 60 | 14.1% |
| sports | 47 | 11.0% |
| wagon | 30 | 7.0% |
| truck | 24 | 5.6% |
| hybrid | 3 | 0.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| S | 369 | |
| a | 292 | |
| n | 292 | |
| d | 265 | |
| e | 262 | |
| o | 77 | 3.7% |
| r | 74 | 3.6% |
| U | 60 | 2.9% |
| V | 60 | 2.9% |
| p | 47 | 2.3% |
| Other values (12) | 262 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1514 | |
| Uppercase Letter | 546 | 26.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 292 | |
| n | 292 | |
| d | 265 | |
| e | 262 | |
| o | 77 | 5.1% |
| r | 74 | 4.9% |
| p | 47 | 3.1% |
| t | 47 | 3.1% |
| s | 47 | 3.1% |
| g | 30 | 2.0% |
| Other values (6) | 81 | 5.4% |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 369 | |
| U | 60 | 11.0% |
| V | 60 | 11.0% |
| W | 30 | 5.5% |
| T | 24 | 4.4% |
| H | 3 | 0.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2060 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| S | 369 | |
| a | 292 | |
| n | 292 | |
| d | 265 | |
| e | 262 | |
| o | 77 | 3.7% |
| r | 74 | 3.6% |
| U | 60 | 2.9% |
| V | 60 | 2.9% |
| p | 47 | 2.3% |
| Other values (12) | 262 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2060 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| S | 369 | |
| a | 292 | |
| n | 292 | |
| d | 265 | |
| e | 262 | |
| o | 77 | 3.7% |
| r | 74 | 3.6% |
| U | 60 | 2.9% |
| V | 60 | 2.9% |
| p | 47 | 2.3% |
| Other values (12) | 262 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 25.6 KiB |
| Asia | |
|---|---|
| USA | |
| Europe |
Length
| Max length | 6 |
|---|---|
| Median length | 4 |
| Mean length | 4.232394366 |
| Min length | 3 |
Characters and Unicode
| Total characters | 1803 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Asia |
|---|---|
| 2nd row | Asia |
| 3rd row | Asia |
| 4th row | Asia |
| 5th row | Asia |
Common Values
| Value | Count | Frequency (%) |
| Asia | 156 | |
| USA | 147 | |
| Europe | 123 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| asia | 156 | |
| usa | 147 | |
| europe | 123 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 303 | |
| a | 156 | |
| i | 156 | |
| s | 156 | |
| S | 147 | |
| U | 147 | |
| e | 123 | |
| p | 123 | |
| o | 123 | |
| r | 123 | |
| Other values (2) | 246 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1083 | |
| Uppercase Letter | 720 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 156 | |
| i | 156 | |
| s | 156 | |
| e | 123 | |
| p | 123 | |
| o | 123 | |
| r | 123 | |
| u | 123 |
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 303 | |
| S | 147 | |
| U | 147 | |
| E | 123 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1803 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| A | 303 | |
| a | 156 | |
| i | 156 | |
| s | 156 | |
| S | 147 | |
| U | 147 | |
| e | 123 | |
| p | 123 | |
| o | 123 | |
| r | 123 | |
| Other values (2) | 246 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1803 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| A | 303 | |
| a | 156 | |
| i | 156 | |
| s | 156 | |
| S | 147 | |
| U | 147 | |
| e | 123 | |
| p | 123 | |
| o | 123 | |
| r | 123 | |
| Other values (2) | 246 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 25.6 KiB |
| Front | |
|---|---|
| Rear | |
| All |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 4.314553991 |
| Min length | 3 |
Characters and Unicode
| Total characters | 1838 |
|---|---|
| Distinct characters | 10 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | All |
|---|---|
| 2nd row | Front |
| 3rd row | Front |
| 4th row | Front |
| 5th row | Front |
Common Values
| Value | Count | Frequency (%) |
| Front | 226 | |
| Rear | 108 | |
| All | 92 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| front | 226 | |
| rear | 108 | |
| all | 92 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 334 | |
| t | 226 | |
| n | 226 | |
| o | 226 | |
| F | 226 | |
| l | 184 | |
| a | 108 | 5.9% |
| e | 108 | 5.9% |
| R | 108 | 5.9% |
| A | 92 | 5.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1412 | |
| Uppercase Letter | 426 | 23.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 334 | |
| t | 226 | |
| n | 226 | |
| o | 226 | |
| l | 184 | |
| a | 108 | 7.6% |
| e | 108 | 7.6% |
Uppercase Letter
| Value | Count | Frequency (%) |
| F | 226 | |
| R | 108 | |
| A | 92 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1838 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 334 | |
| t | 226 | |
| n | 226 | |
| o | 226 | |
| F | 226 | |
| l | 184 | |
| a | 108 | 5.9% |
| e | 108 | 5.9% |
| R | 108 | 5.9% |
| A | 92 | 5.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1838 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 334 | |
| t | 226 | |
| n | 226 | |
| o | 226 | |
| F | 226 | |
| l | 184 | |
| a | 108 | 5.9% |
| e | 108 | 5.9% |
| R | 108 | 5.9% |
| A | 92 | 5.0% |
| Distinct | 409 |
|---|---|
| Distinct (%) | 96.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 32804.5493 |
| Minimum | 10280 |
|---|---|
| Maximum | 192465 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 KiB |
Quantile statistics
| Minimum | 10280 |
|---|---|
| 5-th percentile | 13685 |
| Q1 | 20324.75 |
| median | 27807.5 |
| Q3 | 39225 |
| 95-th percentile | 72958.75 |
| Maximum | 192465 |
| Range | 182185 |
| Interquartile range (IQR) | 18900.25 |
Descriptive statistics
| Standard deviation | 19472.46082 |
|---|---|
| Coefficient of variation (CV) | 0.5935902563 |
| Kurtosis | 13.80083374 |
| Mean | 32804.5493 |
| Median Absolute Deviation (MAD) | 8398.5 |
| Skewness | 2.789290886 |
| Sum | 13974738 |
| Variance | 379176730.6 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 33995 | 2 | 0.5% |
| 29995 | 2 | 0.5% |
| 19635 | 2 | 0.5% |
| 49995 | 2 | 0.5% |
| 19860 | 2 | 0.5% |
| 21595 | 2 | 0.5% |
| 28495 | 2 | 0.5% |
| 35940 | 2 | 0.5% |
| 23495 | 2 | 0.5% |
| 34495 | 2 | 0.5% |
| Other values (399) | 406 |
| Value | Count | Frequency (%) |
| 10280 | 1 | |
| 10539 | 1 | |
| 10760 | 1 | |
| 10995 | 1 | |
| 11155 | 1 | |
| 11290 | 1 | |
| 11560 | 1 | |
| 11690 | 1 | |
| 11839 | 1 | |
| 11905 | 1 |
| Value | Count | Frequency (%) |
| 192465 | 1 | |
| 128420 | 1 | |
| 126670 | 1 | |
| 121770 | 1 | |
| 94820 | 1 | |
| 90520 | 1 | |
| 89765 | 1 | |
| 86995 | 1 | |
| 86970 | 1 | |
| 84600 | 1 |
| Distinct | 423 |
|---|---|
| Distinct (%) | 99.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 30040.65493 |
| Minimum | 9875 |
|---|---|
| Maximum | 173560 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 KiB |
Quantile statistics
| Minimum | 9875 |
|---|---|
| 5-th percentile | 12834.75 |
| Q1 | 18836 |
| median | 25521.5 |
| Q3 | 35754.75 |
| 95-th percentile | 66574.25 |
| Maximum | 173560 |
| Range | 163685 |
| Interquartile range (IQR) | 16918.75 |
Descriptive statistics
| Standard deviation | 17679.43012 |
|---|---|
| Coefficient of variation (CV) | 0.5885168004 |
| Kurtosis | 13.86675651 |
| Mean | 30040.65493 |
| Median Absolute Deviation (MAD) | 7609 |
| Skewness | 2.825874664 |
| Sum | 12797319 |
| Variance | 312562249.4 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 14207 | 2 | 0.5% |
| 68306 | 2 | 0.5% |
| 19638 | 2 | 0.5% |
| 37886 | 1 | 0.2% |
| 19810 | 1 | 0.2% |
| 24909 | 1 | 0.2% |
| 13650 | 1 | 0.2% |
| 24915 | 1 | 0.2% |
| 13393 | 1 | 0.2% |
| 26966 | 1 | 0.2% |
| Other values (413) | 413 |
| Value | Count | Frequency (%) |
| 9875 | 1 | |
| 10107 | 1 | |
| 10144 | 1 | |
| 10319 | 1 | |
| 10642 | 1 | |
| 10705 | 1 | |
| 10896 | 1 | |
| 10965 | 1 | |
| 11116 | 1 | |
| 11209 | 1 |
| Value | Count | Frequency (%) |
| 173560 | 1 | |
| 119600 | 1 | |
| 117854 | 1 | |
| 113388 | 1 | |
| 88324 | 1 | |
| 84325 | 1 | |
| 80939 | 1 | |
| 79978 | 1 | |
| 79226 | 1 | |
| 76417 | 1 |
| Distinct | 42 |
|---|---|
| Distinct (%) | 9.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.205633803 |
| Minimum | 1.4 |
|---|---|
| Maximum | 8.3 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 1.4 |
|---|---|
| 5-th percentile | 1.8 |
| Q1 | 2.4 |
| median | 3 |
| Q3 | 3.9 |
| 95-th percentile | 5.3 |
| Maximum | 8.3 |
| Range | 6.9 |
| Interquartile range (IQR) | 1.5 |
Descriptive statistics
| Standard deviation | 1.103520014 |
|---|---|
| Coefficient of variation (CV) | 0.344243941 |
| Kurtosis | 0.5596129117 |
| Mean | 3.205633803 |
| Median Absolute Deviation (MAD) | 0.8 |
| Skewness | 0.7210462455 |
| Sum | 1365.6 |
| Variance | 1.217756421 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=42)
| Value | Count | Frequency (%) |
| 3 | 42 | 9.9% |
| 3.5 | 34 | 8.0% |
| 2 | 30 | 7.0% |
| 2.5 | 26 | 6.1% |
| 2.4 | 23 | 5.4% |
| 1.8 | 23 | 5.4% |
| 4.6 | 21 | 4.9% |
| 4.2 | 20 | 4.7% |
| 3.2 | 18 | 4.2% |
| 3.8 | 17 | 4.0% |
| Other values (32) | 172 |
| Value | Count | Frequency (%) |
| 1.4 | 1 | 0.2% |
| 1.5 | 6 | 1.4% |
| 1.6 | 10 | 2.3% |
| 1.7 | 4 | 0.9% |
| 1.8 | 23 | |
| 1.9 | 3 | 0.7% |
| 2 | 30 | |
| 2.2 | 15 | |
| 2.3 | 13 | |
| 2.4 | 23 |
| Value | Count | Frequency (%) |
| 8.3 | 1 | 0.2% |
| 6.8 | 1 | 0.2% |
| 6 | 6 | |
| 5.7 | 3 | 0.7% |
| 5.6 | 2 | 0.5% |
| 5.5 | 3 | 0.7% |
| 5.4 | 2 | 0.5% |
| 5.3 | 5 | |
| 5 | 8 | |
| 4.8 | 2 | 0.5% |
| Distinct | 7 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.807511737 |
| Minimum | 3 |
|---|---|
| Maximum | 12 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 3 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 4 |
| median | 6 |
| Q3 | 6 |
| 95-th percentile | 8 |
| Maximum | 12 |
| Range | 9 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.558442633 |
|---|---|
| Coefficient of variation (CV) | 0.2683494591 |
| Kurtosis | 0.4403783249 |
| Mean | 5.807511737 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.5927851991 |
| Sum | 2474 |
| Variance | 2.428743441 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 6 | 190 | |
| 4 | 136 | |
| 8 | 87 | |
| 5 | 7 | 1.6% |
| 12 | 3 | 0.7% |
| 10 | 2 | 0.5% |
| 3 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 3 | 1 | 0.2% |
| 4 | 136 | |
| 5 | 7 | 1.6% |
| 6 | 190 | |
| 8 | 87 | |
| 10 | 2 | 0.5% |
| 12 | 3 | 0.7% |
| Value | Count | Frequency (%) |
| 12 | 3 | 0.7% |
| 10 | 2 | 0.5% |
| 8 | 87 | |
| 6 | 190 | |
| 5 | 7 | 1.6% |
| 4 | 136 | |
| 3 | 1 | 0.2% |
| Distinct | 109 |
|---|---|
| Distinct (%) | 25.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 215.8779343 |
| Minimum | 73 |
|---|---|
| Maximum | 500 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 73 |
|---|---|
| 5-th percentile | 115 |
| Q1 | 165 |
| median | 210 |
| Q3 | 255 |
| 95-th percentile | 338.75 |
| Maximum | 500 |
| Range | 427 |
| Interquartile range (IQR) | 90 |
Descriptive statistics
| Standard deviation | 71.99103952 |
|---|---|
| Coefficient of variation (CV) | 0.3334803057 |
| Kurtosis | 1.534797286 |
| Mean | 215.8779343 |
| Median Absolute Deviation (MAD) | 45 |
| Skewness | 0.928996008 |
| Sum | 91964 |
| Variance | 5182.709771 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 200 | 17 | 4.0% |
| 210 | 14 | 3.3% |
| 215 | 14 | 3.3% |
| 225 | 13 | 3.1% |
| 240 | 13 | 3.1% |
| 220 | 12 | 2.8% |
| 140 | 12 | 2.8% |
| 300 | 11 | 2.6% |
| 170 | 11 | 2.6% |
| 130 | 10 | 2.3% |
| Other values (99) | 299 |
| Value | Count | Frequency (%) |
| 73 | 1 | 0.2% |
| 93 | 1 | 0.2% |
| 100 | 1 | 0.2% |
| 103 | 5 | |
| 104 | 3 | |
| 108 | 5 | |
| 110 | 2 | 0.5% |
| 115 | 6 | |
| 117 | 1 | 0.2% |
| 119 | 2 | 0.5% |
| Value | Count | Frequency (%) |
| 500 | 1 | 0.2% |
| 493 | 3 | |
| 477 | 1 | 0.2% |
| 450 | 1 | 0.2% |
| 420 | 1 | 0.2% |
| 390 | 4 | |
| 350 | 2 | 0.5% |
| 349 | 2 | 0.5% |
| 345 | 1 | 0.2% |
| 340 | 6 |
| Distinct | 28 |
|---|---|
| Distinct (%) | 6.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 20.07042254 |
| Minimum | 10 |
|---|---|
| Maximum | 60 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 10 |
|---|---|
| 5-th percentile | 14 |
| Q1 | 17 |
| median | 19 |
| Q3 | 21.75 |
| 95-th percentile | 29 |
| Maximum | 60 |
| Range | 50 |
| Interquartile range (IQR) | 4.75 |
Descriptive statistics
| Standard deviation | 5.248616025 |
|---|---|
| Coefficient of variation (CV) | 0.2615099914 |
| Kurtosis | 15.71070077 |
| Mean | 20.07042254 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 2.773375104 |
| Sum | 8550 |
| Variance | 27.54797017 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=28)
| Value | Count | Frequency (%) |
| 18 | 67 | |
| 20 | 57 | |
| 17 | 41 | |
| 21 | 38 | |
| 19 | 37 | |
| 16 | 31 | |
| 26 | 22 | 5.2% |
| 24 | 22 | 5.2% |
| 22 | 18 | 4.2% |
| 15 | 17 | 4.0% |
| Other values (18) | 76 |
| Value | Count | Frequency (%) |
| 10 | 2 | 0.5% |
| 12 | 4 | 0.9% |
| 13 | 12 | 2.8% |
| 14 | 13 | 3.1% |
| 15 | 17 | 4.0% |
| 16 | 31 | |
| 17 | 41 | |
| 18 | 67 | |
| 19 | 37 | |
| 20 | 57 |
| Value | Count | Frequency (%) |
| 60 | 1 | 0.2% |
| 59 | 1 | 0.2% |
| 46 | 1 | 0.2% |
| 38 | 1 | 0.2% |
| 36 | 1 | 0.2% |
| 35 | 2 | 0.5% |
| 33 | 1 | 0.2% |
| 32 | 7 | |
| 31 | 1 | 0.2% |
| 29 | 7 |
| Distinct | 33 |
|---|---|
| Distinct (%) | 7.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 26.85446009 |
| Minimum | 12 |
|---|---|
| Maximum | 66 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 12 |
|---|---|
| 5-th percentile | 18 |
| Q1 | 24 |
| median | 26 |
| Q3 | 29 |
| 95-th percentile | 36 |
| Maximum | 66 |
| Range | 54 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 5.752334876 |
|---|---|
| Coefficient of variation (CV) | 0.2142040784 |
| Kurtosis | 6.008641432 |
| Mean | 26.85446009 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 1.245622363 |
| Sum | 11440 |
| Variance | 33.08935653 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=33)
| Value | Count | Frequency (%) |
| 26 | 54 | |
| 25 | 43 | 10.1% |
| 28 | 38 | 8.9% |
| 29 | 34 | 8.0% |
| 27 | 28 | 6.6% |
| 30 | 24 | 5.6% |
| 24 | 24 | 5.6% |
| 19 | 16 | 3.8% |
| 21 | 16 | 3.8% |
| 23 | 16 | 3.8% |
| Other values (23) | 133 |
| Value | Count | Frequency (%) |
| 12 | 1 | 0.2% |
| 13 | 1 | 0.2% |
| 14 | 1 | 0.2% |
| 16 | 2 | 0.5% |
| 17 | 9 | |
| 18 | 11 | |
| 19 | 16 | |
| 20 | 13 | |
| 21 | 16 | |
| 22 | 13 |
| Value | Count | Frequency (%) |
| 66 | 1 | 0.2% |
| 51 | 2 | 0.5% |
| 46 | 1 | 0.2% |
| 44 | 1 | 0.2% |
| 43 | 2 | 0.5% |
| 40 | 3 | |
| 39 | 1 | 0.2% |
| 38 | 3 | |
| 37 | 5 | |
| 36 | 5 |
| Distinct | 346 |
|---|---|
| Distinct (%) | 81.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3580.474178 |
| Minimum | 1850 |
|---|---|
| Maximum | 7190 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 1850 |
|---|---|
| 5-th percentile | 2513 |
| Q1 | 3111.25 |
| median | 3476 |
| Q3 | 3979.25 |
| 95-th percentile | 4996.75 |
| Maximum | 7190 |
| Range | 5340 |
| Interquartile range (IQR) | 868 |
Descriptive statistics
| Standard deviation | 759.8700728 |
|---|---|
| Coefficient of variation (CV) | 0.2122261005 |
| Kurtosis | 1.676000966 |
| Mean | 3580.474178 |
| Median Absolute Deviation (MAD) | 428 |
| Skewness | 0.8845782783 |
| Sum | 1525282 |
| Variance | 577402.5276 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 3175 | 4 | 0.9% |
| 3285 | 4 | 0.9% |
| 3450 | 4 | 0.9% |
| 3428 | 3 | 0.7% |
| 3197 | 3 | 0.7% |
| 4057 | 3 | 0.7% |
| 3803 | 3 | 0.7% |
| 2524 | 3 | 0.7% |
| 2676 | 3 | 0.7% |
| 3470 | 3 | 0.7% |
| Other values (336) | 393 |
| Value | Count | Frequency (%) |
| 1850 | 1 | |
| 2035 | 1 | |
| 2055 | 1 | |
| 2085 | 1 | |
| 2195 | 1 | |
| 2255 | 1 | |
| 2290 | 1 | |
| 2339 | 1 | |
| 2340 | 1 | |
| 2348 | 1 |
| Value | Count | Frequency (%) |
| 7190 | 1 | |
| 6400 | 1 | |
| 6133 | 1 | |
| 5969 | 1 | |
| 5879 | 1 | |
| 5678 | 1 | |
| 5590 | 1 | |
| 5464 | 1 | |
| 5440 | 1 | |
| 5423 | 1 |
| Distinct | 40 |
|---|---|
| Distinct (%) | 9.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 108.1643192 |
| Minimum | 89 |
|---|---|
| Maximum | 144 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 89 |
|---|---|
| 5-th percentile | 95.25 |
| Q1 | 103 |
| median | 107 |
| Q3 | 112 |
| 95-th percentile | 123 |
| Maximum | 144 |
| Range | 55 |
| Interquartile range (IQR) | 9 |
Descriptive statistics
| Standard deviation | 8.330030387 |
|---|---|
| Coefficient of variation (CV) | 0.07701273807 |
| Kurtosis | 2.108267519 |
| Mean | 108.1643192 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.9569295076 |
| Sum | 46078 |
| Variance | 69.38940624 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=40)
| Value | Count | Frequency (%) |
| 107 | 45 | 10.6% |
| 103 | 30 | 7.0% |
| 112 | 25 | 5.9% |
| 106 | 25 | 5.9% |
| 104 | 24 | 5.6% |
| 105 | 21 | 4.9% |
| 115 | 20 | 4.7% |
| 109 | 17 | 4.0% |
| 111 | 17 | 4.0% |
| 102 | 16 | 3.8% |
| Other values (30) | 186 |
| Value | Count | Frequency (%) |
| 89 | 2 | 0.5% |
| 93 | 9 | |
| 95 | 11 | |
| 96 | 5 | 1.2% |
| 97 | 3 | 0.7% |
| 98 | 11 | |
| 99 | 11 | |
| 100 | 7 | |
| 101 | 16 | |
| 102 | 16 |
| Value | Count | Frequency (%) |
| 144 | 2 | |
| 140 | 1 | 0.2% |
| 137 | 1 | 0.2% |
| 133 | 2 | |
| 131 | 1 | 0.2% |
| 130 | 4 | |
| 129 | 2 | |
| 128 | 2 | |
| 126 | 2 | |
| 124 | 3 |
| Distinct | 67 |
|---|---|
| Distinct (%) | 15.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 186.4201878 |
| Minimum | 143 |
|---|---|
| Maximum | 238 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 143 |
|---|---|
| 5-th percentile | 163 |
| Q1 | 178 |
| median | 187 |
| Q3 | 194 |
| 95-th percentile | 212 |
| Maximum | 238 |
| Range | 95 |
| Interquartile range (IQR) | 16 |
Descriptive statistics
| Standard deviation | 14.3666105 |
|---|---|
| Coefficient of variation (CV) | 0.07706574419 |
| Kurtosis | 0.6176732951 |
| Mean | 186.4201878 |
| Median Absolute Deviation (MAD) | 9 |
| Skewness | 0.1733442416 |
| Sum | 79415 |
| Variance | 206.3994974 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 178 | 27 | 6.3% |
| 190 | 22 | 5.2% |
| 187 | 17 | 4.0% |
| 192 | 16 | 3.8% |
| 188 | 15 | 3.5% |
| 191 | 14 | 3.3% |
| 179 | 14 | 3.3% |
| 200 | 13 | 3.1% |
| 177 | 13 | 3.1% |
| 183 | 12 | 2.8% |
| Other values (57) | 263 |
| Value | Count | Frequency (%) |
| 143 | 1 | 0.2% |
| 144 | 1 | 0.2% |
| 150 | 1 | 0.2% |
| 153 | 2 | |
| 154 | 1 | 0.2% |
| 155 | 2 | |
| 156 | 2 | |
| 158 | 2 | |
| 159 | 3 | |
| 160 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 238 | 1 | 0.2% |
| 230 | 1 | 0.2% |
| 227 | 1 | 0.2% |
| 224 | 1 | 0.2% |
| 222 | 2 | 0.5% |
| 221 | 2 | 0.5% |
| 219 | 3 | |
| 218 | 3 | |
| 215 | 2 | 0.5% |
| 212 | 7 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| df_index | Make | Model | Type | Origin | DriveTrain | MSRP | Invoice | EngineSize | Cylinders | Horsepower | MPG_City | MPG_Highway | Weight | Wheelbase | Length | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | Acura | MDX | SUV | Asia | All | 36945 | 33337 | 3.5 | 6.0 | 265 | 17 | 23 | 4451 | 106 | 189 |
| 1 | 1 | Acura | RSX Type S 2dr | Sedan | Asia | Front | 23820 | 21761 | 2.0 | 4.0 | 200 | 24 | 31 | 2778 | 101 | 172 |
| 2 | 2 | Acura | TSX 4dr | Sedan | Asia | Front | 26990 | 24647 | 2.4 | 4.0 | 200 | 22 | 29 | 3230 | 105 | 183 |
| 3 | 3 | Acura | TL 4dr | Sedan | Asia | Front | 33195 | 30299 | 3.2 | 6.0 | 270 | 20 | 28 | 3575 | 108 | 186 |
| 4 | 4 | Acura | 3.5 RL 4dr | Sedan | Asia | Front | 43755 | 39014 | 3.5 | 6.0 | 225 | 18 | 24 | 3880 | 115 | 197 |
| 5 | 5 | Acura | 3.5 RL w/Navigation 4dr | Sedan | Asia | Front | 46100 | 41100 | 3.5 | 6.0 | 225 | 18 | 24 | 3893 | 115 | 197 |
| 6 | 6 | Acura | NSX coupe 2dr manual S | Sports | Asia | Rear | 89765 | 79978 | 3.2 | 6.0 | 290 | 17 | 24 | 3153 | 100 | 174 |
| 7 | 7 | Audi | A4 1.8T 4dr | Sedan | Europe | Front | 25940 | 23508 | 1.8 | 4.0 | 170 | 22 | 31 | 3252 | 104 | 179 |
| 8 | 8 | Audi | A41.8T convertible 2dr | Sedan | Europe | Front | 35940 | 32506 | 1.8 | 4.0 | 170 | 23 | 30 | 3638 | 105 | 180 |
| 9 | 9 | Audi | A4 3.0 4dr | Sedan | Europe | Front | 31840 | 28846 | 3.0 | 6.0 | 220 | 20 | 28 | 3462 | 104 | 179 |
Last rows
| df_index | Make | Model | Type | Origin | DriveTrain | MSRP | Invoice | EngineSize | Cylinders | Horsepower | MPG_City | MPG_Highway | Weight | Wheelbase | Length | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 416 | 418 | Volvo | S60 2.5 4dr | Sedan | Europe | All | 31745 | 29916 | 2.5 | 5.0 | 208 | 20 | 27 | 3903 | 107 | 180 |
| 417 | 419 | Volvo | S60 T5 4dr | Sedan | Europe | Front | 34845 | 32902 | 2.3 | 5.0 | 247 | 20 | 28 | 3766 | 107 | 180 |
| 418 | 420 | Volvo | S60 R 4dr | Sedan | Europe | All | 37560 | 35382 | 2.5 | 5.0 | 300 | 18 | 25 | 3571 | 107 | 181 |
| 419 | 421 | Volvo | S80 2.9 4dr | Sedan | Europe | Front | 37730 | 35542 | 2.9 | 6.0 | 208 | 20 | 28 | 3576 | 110 | 190 |
| 420 | 422 | Volvo | S80 2.5T 4dr | Sedan | Europe | All | 37885 | 35688 | 2.5 | 5.0 | 194 | 20 | 27 | 3691 | 110 | 190 |
| 421 | 423 | Volvo | C70 LPT convertible 2dr | Sedan | Europe | Front | 40565 | 38203 | 2.4 | 5.0 | 197 | 21 | 28 | 3450 | 105 | 186 |
| 422 | 424 | Volvo | C70 HPT convertible 2dr | Sedan | Europe | Front | 42565 | 40083 | 2.3 | 5.0 | 242 | 20 | 26 | 3450 | 105 | 186 |
| 423 | 425 | Volvo | S80 T6 4dr | Sedan | Europe | Front | 45210 | 42573 | 2.9 | 6.0 | 268 | 19 | 26 | 3653 | 110 | 190 |
| 424 | 426 | Volvo | V40 | Wagon | Europe | Front | 26135 | 24641 | 1.9 | 4.0 | 170 | 22 | 29 | 2822 | 101 | 180 |
| 425 | 427 | Volvo | XC70 | Wagon | Europe | All | 35145 | 33112 | 2.5 | 5.0 | 208 | 20 | 27 | 3823 | 109 | 186 |